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7 PRACTICAL RECIPES FOR REDUCING CLOUD WASTE IN JAVA WORKLOADS

7 PRACTICAL RECIPES FOR REDUCING CLOUD WASTE IN JAVA WORKLOADS

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Companies are achieving major cloud savings and reliability gains, such as 33% fewer servers, 40% lower compute costs, 100% uptime, and a 95% drop in operational issues. Azul’s Cloud Cost Optimization approach helps teams understand cloud usage, establish KPIs, and identify efficiency opportunities. Key strategies include using spot or reserved instances, negotiating with cloud providers, right‑sizing and autoscaling, adopting newer compute types, and leveraging a high‑performance Java platform. Based on the FinOps Framework, this guide enables developers and architects to operationalize cost‑efficient cloud practices.

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